An Efficient Tool for Automatic Delimitation of Moroccan Coastal Upwelling Using SST Images

Ayoub Tamim 1 Khalid Minaoui 2 Khalid Daoudi 3 Hussein Yahia 3 Abderrahman Atillah 4 Driss Aboutajdine 5
1 LRIT
LRIT - Laboratoire de Recherche Informatique et Télécommunications
2 LRIT Associated Unit to the CNRST-URAC n◦ 29
LRIT - Laboratoire de Recherche Informatique et Télécommunications
3 GeoStat - Geometry and Statistics in acquisition data
Inria Bordeaux - Sud-Ouest
4 CRTS - Centre Royal de Télédétection Spatiale
5 GSCM-LRIT - Laboratoire de Recherche en Informatique et Télécommunications [Rabat]
Abstract : An unsupervised classification method is developed for the coarse segmentation of Moroccan coastal upwelling using the Sea Surface Temperature (SST) satellite images. The algorithm is started with the generation of c-partitioned labeled image using Otsu's method for the purpose of finding regions of homogenous temperatures. Then two well-known validity indices are used to select the c-partition which best reproduce the shape of upwelling area. A region-growing algorithm is developed that is used to remove the noisy structures in the offshore waters not belonging to the upwelling area. The algorithm is used to provide a seasonal variability of upwelling activity in the southern Moroccan Atlantic coast using 70 SST images of the years 2007 and 2008. The performance of the proposed methodology has been validated by an oceanographer, showing its effectiveness for automatic delimitation of Moroccan upwelling region.
Keywords : —Sea surface temperature image upwelling unsu-pervised classification Otsu's method Region-growing algorithm Moroccan atlantique coast
Type de document :
Article dans une revue
IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2014, pp.5
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01078655
Contributeur : H. Yahia <>
Soumis le : mercredi 29 octobre 2014 - 17:11:01
Dernière modification le : mercredi 14 novembre 2018 - 13:54:11
Document(s) archivé(s) le : vendredi 30 janvier 2015 - 10:36:45

Fichier

GRSL.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01078655, version 1

Collections

INRIA | INRIA-BORDEAUX

Citation

Ayoub Tamim, Khalid Minaoui, Khalid Daoudi, Hussein Yahia, Abderrahman Atillah, et al.. An Efficient Tool for Automatic Delimitation of Moroccan Coastal Upwelling Using SST Images. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2014, pp.5. 〈hal-01078655〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

380

Téléchargements de fichiers

403

Contact


archive-ouverte@inria.fr